The Modelling of a Cure Fraction in Bivariate Time-to-Event Data

@inproceedings{Wienke2006TheMO,
  title={The Modelling of a Cure Fraction in Bivariate Time-to-Event Data},
  author={Andreas Wienke and Isabella Locatelli and Anatoliy I. Yashin},
  year={2006}
}
Three correlated frailty models are used to analyze bivariate timeto-event data by assuming gamma, log-normal and compound Poisson distributed frailty. All approaches allow to deal with right censored lifetime data and account for heterogeneity as well as for a non-susceptible (cure) fraction in the study population. In the gamma and compound Poisson model traditional ML estimation methods are used, whereas in the log-normal model MCMC methods are applied. Breast cancer incidence data of… CONTINUE READING

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